Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach

The production, testing, and processing of signals without any interpretation is a crucial task with time scale periods in today's biological applications. As a result, the proposed work attempts to use a deep learning model to handle difficulties that arise during the processing stage of biome...

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Detalhes bibliográficos
Main Authors: Hariprasath Manoharan, Shitharth Selvarajan, Ayman Yafoz, Hassan A. Alterazi, Mueen Uddin, Chin-Ling Chen, Chih-Ming Wu
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-05-01
Colecção:Frontiers in Public Health
Assuntos:
biomedical signals
deep learning
Fourier filters
sensors
cross points
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fpubh.2022.909628/full
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